Research of SLAM data association algorithm-Reference-Cited by-同舟云学术

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Research of SLAM data association algorithm

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Innovation in Artificial Intelligence - ICIAI '18
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Author:

Zhang Tong¹,Feng Lei¹,Li Yue¹,Song Chenfei¹

Affiliation:

1. Guilin University of Electronic Technology, Guilin, China

Funder

Innovation Project of GUET Graduate Education

Guangxi Natural Science Foundation

Guilin key project of science and Technology

National Natural Science Foundation of China

the Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education

Publisher

ACM Press

Reference10 articles.

1. Durrant-Whyle H, Bailey T. Simultaneous Localization and Mapping:Part I [J]. IEEE Robotics and Automation Magazine,2006,13(2):99--108.

2. Yin-Tien Wang; Ying-Chieh Feng. Data association and map management for robot SLAM using local invariant features [J]. IEEE International Conference on Mechatronics and Automation,2013,1102--1107.

3. SeanL.Bowman; Nikolay AtanasovKostas Daniilidis; George J. Pappas.Probabilistic data association for semantic SLAM [J]. IEEE International Conference on Robotics and Automation (ICRA),2017,1722--1729.

4. Neira J, Tardos J D. Data association in stochastic mapping using the joint compatibility test[J]. IEEE Transactions on Robotics and Automation, 2001,17(6):890--897

5. Wu Zhou, Shiju E, et al. Review of SLAM Data Association Study[J].International Conference on Sensor Network and Computer Engineering,2016:14--19.

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